DocumentCode :
3205653
Title :
Multi-primitive hierarchical (MPH) stereo system
Author :
Marapane, Suresh B. ; Trivedi, Mohan M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Tennessee Univ., Knoxville, TN, USA
fYear :
1992
fDate :
15-18 Jun 1992
Firstpage :
499
Lastpage :
505
Abstract :
A computational framework for an accurate, robust, and efficient stereo approach is developed. Most of the deficiencies prevailing in current computational models of stereo can be attributed to their use of a single, typically edge-element-based, primitive for stereo analysis and to their use of a single-level control strategy. The multi-primitive hierarchical (MPH) framework for stereo analysis presented is directed toward overcoming these deficiencies. In the MPH model, stereo analysis is performed in multiple stages, incorporating multiple primitives and utilizing a hierarchical control strategy. The higher levels of the hierarchical system are based on primitives containing more semantic information, and the results of stereo analysis at higher levels are used for guidance at the lower levels. It is shown that such a stereo system is superior to a single-level, single-primitive system
Keywords :
stereo image processing; computational framework; computational models; multiprimitive hierarchical stereo system; semantic information; stereo analysis; Algorithm design and analysis; Computational modeling; Computer vision; Contracts; Laboratories; Layout; Performance analysis; Robot vision systems; Robustness; Stereo vision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
Conference_Location :
Champaign, IL
ISSN :
1063-6919
Print_ISBN :
0-8186-2855-3
Type :
conf
DOI :
10.1109/CVPR.1992.223144
Filename :
223144
Link To Document :
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